Course DescriptionThis course is an introduction to Python, analysing and exploring data and doing machine learning with Python. Topics cover basics in Python programming language as well as visualization and exploratory data analysis in Python. Python libraries such as NumPy, Pandas, Matplotlib and Seaborn which are essential for data science will be introduced
Students are recommended to check the important dates for the Chang School current term before enrolling in the course and paying the fees. Notably, the Azure Virtual Desktop assigned to students will be accessible two days after the course’s starting date, and swapping between sections will not be permitted.
Students are also encouraged to download the Microsoft Remote Desktop app to access the software needed to complete this course’s requirements. Students also need to test the compatibility of the computer they plan to use before the first session, as machines operated using a third-party administrator, such as laptops provided by a workplace, may not allow access to the required software/download(s). International students might need to use their virtual private network (VPN) software if they cannot connect to University resources.
This course offers on-campus section(s) for the 2022/23 academic year. On-campus sections are identified in each section's detail summary as “Classroom” (and/or “Downtown” as the location). Visit COVID-19 Updates for Chang School Students for the most up-to-date guidance on attending on-campus classes.
- Data Analytics, Big Data, and Predictive Analytics : Required Courses